Super Micro Computer (SMCI) Capital Expenditures (2010 - 2026)
Super Micro Computer (SMCI) posted Capital Expenditures of $28.23 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 24.5% from $22.68 million a year earlier but down 64.8% from the prior quarter.
Super Micro Computer (SMCI) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Super Micro Computer's Capital Expenditures came in at $162 million, up 27.3% from FY2025.
- Annual Capital Expenditures has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 22.8% (FY2021 to FY2026).
- In prior fiscal years, Super Micro Computer's Capital Expenditures was $127.21 million in FY2025 (+2.4%), $124.28 million in FY2024 (+237.8%), $36.79 million in FY2023 (-18.6%) and $45.18 million in FY2022 (-22.1%).
- Quarterly Capital Expenditures has run from a low of $2.63 million in fiscal Q1 2024 to a high of $92.95 million in fiscal Q3 2024 over five years.
- On a year-over-year basis, Capital Expenditures increased in four of the last seven quarters, with growth averaging 29.2%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q3 2026, with growth of 145.5%; the weakest was fiscal Q1 2024, with a decline of 75.5%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $80.28 million (Q3 2026), $21.22 million (Q2 2026) and $32.27 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 2.24 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 390.00 Mn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 100.70 Mn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 1.24 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | -875.12 Mn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 54.00 Mn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 211.00 Mn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 227.00 Mn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 745.00 Mn |
| 10 | Super Micro Computer | 17.31 Bn | 208.19 Mn | 1.94 Bn | 28.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.23 Mn |
| Mar 31, 2026 | 80.28 Mn |
| Dec 31, 2025 | 21.22 Mn |
| Sep 30, 2025 | 32.27 Mn |
| Jun 30, 2025 | 22.68 Mn |
| Mar 31, 2025 | 32.70 Mn |
| Dec 31, 2024 | 27.54 Mn |
| Sep 30, 2024 | 44.30 Mn |
| Jun 30, 2024 | 13.98 Mn |
| Mar 31, 2024 | 92.95 Mn |
| Dec 31, 2023 | 14.72 Mn |
| Sep 30, 2023 | 2.63 Mn |
| Jun 30, 2023 | 8.18 Mn |
| Mar 31, 2023 | 7.99 Mn |
| Dec 31, 2022 | 9.89 Mn |
| Sep 30, 2022 | 10.75 Mn |
| Jun 30, 2022 | 11.03 Mn |
| Mar 31, 2022 | 10.95 Mn |
| Dec 31, 2021 | 12.40 Mn |
| Sep 30, 2021 | 10.80 Mn |
Super Micro Computer Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SMCI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "SMCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=SMCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();